N. Qureshi

First name
N.
Last name
Qureshi
Akyea, R. K., Georgiopoulos, G., Iyen, B., Kai, J., Qureshi, N., & Ntaios, G. (2022). Comparison of risk of serious cardiovascular events after haemorrhagic versus ischaemic stroke: a population-based study. Thromb Haemost. http://doi.org/10.1055/a-1873-9092
Iyen, B., Vinogradova, Y., Akyea, R. K., Weng, S., Qureshi, N., & Kai, J. (2022). Ethnic disparities in mortality among overweight or obese adults with newly diagnosed type 2 diabetes: a population-based cohort study. J Endocrinol Invest. http://doi.org/10.1007/s40618-021-01736-9
Weng, S. F., Kai, J., Guha, I. N., & Qureshi, N. (2015). The value of aspartate aminotransferase and alanine aminotransferase in cardiovascular disease risk assessment. Open Heart. http://doi.org/10.1136/openhrt-2015-000272
Weng, S. F., Kai, J., Neil, A., Humphries, S. E., & Qureshi, N. (2015). Improving identification of familial hypercholesterolaemia in primary care: derivation and validation of the familial hypercholesterolaemia case ascertainment tool (FAMCAT). Atherosclerosis. http://doi.org/10.1016/j.atherosclerosis.2014.12.034
Little, I., Vinogradova, Y., Orton, E., Kai, J., & Qureshi, N. (2017). Venous thromboembolism in adults screened for sickle cell trait: a population-based cohort study with nested case-control analysis. BMJ Open. http://doi.org/10.1136/bmjopen-2016-012665
Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data?. PLoS One. http://doi.org/10.1371/journal.pone.0174944
Zghebi, S. S., Rutter, M. K., Ashcroft, D. M., Salisbury, C., Mallen, C., Chew-Graham, C. A., et al. (2018). Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design. BMJ Open. http://doi.org/10.1136/bmjopen-2017-020926
Dhiman, P., Andersen, S., Vestergaard, P., Masud, T., & Qureshi, N. (2018). Does bone mineral density improve the predictive accuracy of fracture risk assessment? A prospective cohort study in Northern Denmark. BMJ Open. http://doi.org/10.1136/bmjopen-2017-018898
Akyea, R. K., Kai, J., Qureshi, N., Iyen, B., & Weng, S. F. (2019). Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease. Heart. http://doi.org/10.1136/heartjnl-2018-314253
Nowakowska, M., Zghebi, S. S., Ashcroft, D. M., Buchan, I., Chew-Graham, C., Holt, T., et al. (2019). The comorbidity burden of type 2 diabetes mellitus: patterns, clusters and predictions from a large English primary care cohort. BMC Med. http://doi.org/10.1186/s12916-019-1373-y